基于时态知识图谱的车站客流组织模型
孟歌
Research on Station Passenger Flow Organization Model Based on Temporal Knowledge Graph
MENG Ge
-
作者信息:中国铁道科学研究院集团有限公司电子计算技术研究所，100081，北京
-
Affiliation:Institute of Computing Technology, China Academy of Railway Sciences Co., Ltd., 100081, Beijing, China
-
关键词:
-
Key words:
-
DOI:10.16037/j.1007-869x.2024.09.017
-
中图分类号/CLCN:U293.1
-
栏目/Col:研究报告
摘要:
［目的］城市轨道交通车站存在客流压力逐渐增大、智能化手段不足等问题。为提升车站的客流组织效率和智能化水平，需采用更先进的信息化方法和手段。［方法］阐述了TKG(时态知识图谱)的发展情况及特征。引入车站客流的时态信息，构建了基于TKG的车站客流组织模型。将该模型应用于北京地铁2号线某车站的客流组织中，建立了该站的TKG模型，通过ArangoDB数据库软件进行图形化展示，以研究站内客流组织的动态演化过程。［结果及结论］该模型可为车站客流组织提前预判、快速响应、有效实施、智能预警等提供信息化手段及技术支撑。
Abstracts:
［Objective］ Urban rail transit stations are facing the challenges of increasing passenger flow pressure and insufficient intelligent means. To improve the efficiency and intelligent level of passenger flow organization in station, it is necessary to adopt more advanced informational method and means. ［Method］ The development and characteristics of temporal knowledge graph (TKG) are described. By introducing the temporal information of the station passenger flow, a passenger flow organization model based on TKG is established. The model is applied to a station passenger flow organization on Beijing Metro Line 2, and the TKG model for this station is established. A graphical display is performed using ArangoDB database software to study the dynamic evolution process of the station passenger flow organization. ［Result & Conclusion］ The model can provide informational means and technical support for the advanced prediction, rapid response, effective implementation and intelligent early warning in the station passenger flow organization.
- 上一篇: 高铁物流运输模式及其可行性
- 下一篇: 数字化转型难在转型
过刊浏览
资料下载
友情链接